Triple
T10429807
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mysen |
E245880
|
entity |
| Predicate | hasSportsClub |
P346
|
FINISHED |
| Object |
Mysen IF
Mysen IF is a Norwegian sports club based in the town of Mysen, known for organizing local football and other athletic activities.
|
E863812
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Mysen IF | Statement: [Mysen, hasSportsClub, Mysen IF]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mysen IF Context triple: [Mysen, hasSportsClub, Mysen IF]
-
A.
Stattena IF
Stattena IF is a Swedish football club known for its role in developing players such as renowned coach and former international striker Pia Sundhage.
-
B.
Hokksund IL
Hokksund IL is a Norwegian multi-sport club based in Hokksund, known for organizing local football and other athletic activities.
-
C.
Sandvikens IF
Sandvikens IF is a Swedish sports club best known for its football team, which has a long tradition and regional significance in Sandviken.
-
D.
Östers IF
Östers IF is a Swedish football club based in Växjö, known for its history in the country’s top divisions and domestic successes.
-
E.
Segeltorps IF
Segeltorps IF is a Swedish multi-sport club best known for its ice hockey and football teams based in the Segeltorp area of Huddinge, near Stockholm.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Mysen IF Triple: [Mysen, hasSportsClub, Mysen IF]
Generated description
Mysen IF is a Norwegian sports club based in the town of Mysen, known for organizing local football and other athletic activities.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mysen IF Target entity description: Mysen IF is a Norwegian sports club based in the town of Mysen, known for organizing local football and other athletic activities.
-
A.
Stattena IF
Stattena IF is a Swedish football club known for its role in developing players such as renowned coach and former international striker Pia Sundhage.
-
B.
Hokksund IL
Hokksund IL is a Norwegian multi-sport club based in Hokksund, known for organizing local football and other athletic activities.
-
C.
Sandvikens IF
Sandvikens IF is a Swedish sports club best known for its football team, which has a long tradition and regional significance in Sandviken.
-
D.
Östers IF
Östers IF is a Swedish football club based in Växjö, known for its history in the country’s top divisions and domestic successes.
-
E.
Segeltorps IF
Segeltorps IF is a Swedish multi-sport club best known for its ice hockey and football teams based in the Segeltorp area of Huddinge, near Stockholm.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d381bf3dc08190bf35a2643e4e8f22 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4ea62d6448190a7f5b785467824cf |
completed | April 7, 2026, 11:28 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d87eb068bc8190be9c7c916850278e |
completed | April 10, 2026, 4:38 a.m. |
| NEDg | Description generation | batch_69d889c45b588190ad103b4bc8cc5fbd |
completed | April 10, 2026, 5:25 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d88dbbe97c8190861e08f3ff39f91b |
completed | April 10, 2026, 5:42 a.m. |
Created at: April 6, 2026, 12:13 p.m.